Text Processing with AWK and sed

Text Processing with AWK and sed

Learn how to reshape, filter, extract, and calculate with text streams using sed and awk, two of the most important Linux command line data-processing tools. This course helps you go beyond basic searching and start transforming raw text into useful operational output.

Why It Matters

Linux tools produce enormous amounts of text, and many operations tasks depend on extracting just the parts that matter. Whether you are reformatting configuration snippets, filtering log data, or calculating totals from command output, awk and sed give you precise control over text streams without writing a full program.

What You Will Learn

• Perform targeted substitutions and basic stream edits with sed.
• Apply more advanced sed patterns for line-by-line text transformation.
• Extract columns and fields from structured text with awk.
• Filter records with conditional logic inside awk programs.
• Perform calculations and summaries directly from command output.
• Combine these tools in a reporting workflow that reflects practical Linux operations work.

Course Roadmap

The course begins with sed substitution basics so you can make targeted text replacements in a controlled way. It then expands into broader stream-editing patterns, helping you modify text as it flows through the shell.

Next, the course shifts to awk, starting with column extraction so you can pull structured fields out of tabular output. After that, you add filtering and logic to select only the records you need, then move into calculations so awk can summarize and compute from text-based data.

The course ends with the System Report Generator challenge, where sed and awk are used together to transform raw system output into a more useful reporting format.

Who This Course Is For

This course is for Linux learners who already know basic command line text tools and want stronger data processing skills for logs, reports, and automation workflows.

Outcomes

By the end of this course, you will be able to use sed and awk to clean, filter, transform, and summarize text-based data with far more precision than basic search commands alone.